Knowledge acquisition and representation for unsteady open channel flow

Kwok Wing Chau, Wen Wu Yang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The modelling of unsteady open channel flow, which is an important area in fluvial engineering, involves a complicated heuristic decision-making process. Numerical modelling is an economical and powerful technique being widely used nowadays. However, engineers usually face many obstacles in the application of conventional numerical software, due to the complex process of the task definition, model calibration and result evaluation involved. Expert system, an active subject of artificial intelligence, is suitable to treat the above engineering problem. This paper describes the methodology of knowledge acquisition and representation for fluvial hydrodynamics, which play a key role in the development of a practical knowledge based system. The experience gained through the knowledge acquisition process in this project is discussed. The construction of the knowledge bases for the development of a microcomputer-based expert system for unsteady open channel flow in a river network is also presented.
Original languageEnglish
Pages (from-to)221-237
Number of pages17
JournalJournal of Intelligent Systems
Volume6
Issue number3-4
DOIs
Publication statusPublished - 1 Jan 1996

Keywords

  • Expert system
  • Knowledge acquisition
  • Knowledge representation
  • Open channel
  • River network
  • Unsteady flow

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Artificial Intelligence

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